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                <th scope="col"> </th>
                <th scope="col">(1)</th>
                <th scope="col">(2)</th>
                <th scope="col">(3)</th>
                <th scope="col">(4)</th>
                <th scope="col">(5)</th>
                <th scope="col">(6)</th>
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        <tfoot><tr><td colspan='7'></td></tr>
<tr><td colspan='7'>The outcome variable is XX. Estimates are based on XX. Columns differ with respect to XX. All estimations include the following set of control variables: age, binary for being married, number of children in household, binary for no educational degree, personal income, years of work experience, satisfaction with household income. Robust standard errors in parenthesis. * p &lt; 0.05, ** p &lt; 0.01, *** p &lt; 0.001.</td></tr></tfoot>
        <tbody>
                <tr>
                  <td>ATT       </td>
                  <td>1.773**        </td>
                  <td>1.238           </td>
                  <td>1.880***        </td>
                  <td>1.410*         </td>
                  <td>3.610***          </td>
                  <td>3.303***           </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.358)        </td>
                  <td>(0.272)         </td>
                  <td>(0.282)         </td>
                  <td>(0.194)        </td>
                  <td>(1.011)           </td>
                  <td>(0.886)            </td>
                </tr>
                <tr>
                  <td>intercept </td>
                  <td>0.316***       </td>
                  <td>0.326***        </td>
                  <td>0.359***        </td>
                  <td>0.450***       </td>
                  <td>0.129***          </td>
                  <td>0.336***           </td>
                </tr>
                <tr>
                  <td>          </td>
                  <td>(0.055)        </td>
                  <td>(0.051)         </td>
                  <td>(0.040)         </td>
                  <td>(0.046)        </td>
                  <td>(0.028)           </td>
                  <td>(0.065)            </td>
                </tr>
                <tr>
                  <td>N         </td>
                  <td>1473           </td>
                  <td>737             </td>
                  <td>1696            </td>
                  <td>1841           </td>
                  <td>592               </td>
                  <td>556                </td>
                </tr>
                <tr>
                  <td>BIC       </td>
                  <td>1903           </td>
                  <td>980             </td>
                  <td>2205            </td>
                  <td>2480           </td>
                  <td>658               </td>
                  <td>749                </td>
                </tr>
                <tr>
                  <td>Log.Lik.  </td>
                  <td>−937           </td>
                  <td>−477            </td>
                  <td>−1088           </td>
                  <td>−1225          </td>
                  <td>−316              </td>
                  <td>−362               </td>
                </tr>
                <tr>
                  <td>p-value   </td>
                  <td>0.8149         </td>
                  <td>0.3964          </td>
                  <td>0.6221          </td>
                  <td>0.5039         </td>
                  <td>0.067             </td>
                  <td>0.0567             </td>
                </tr>
                <tr>
                  <td>sub-sample</td>
                  <td>age_olderthan47</td>
                  <td>nchild_lessthan2</td>
                  <td>nchild_morethan1</td>
                  <td>married_married</td>
                  <td>married_notmarried</td>
                  <td>income2_lessthan850</td>
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